Expert Systems
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Expert Systems






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Expert Systems Expert Systems Presentation Transcript

  • Expert Systems Sailendra Sharma Rohan Tamrkar Indira School Of Career Development [email_address]
  • Introduction
    • A computer application that performs a task that would otherwise be performed by a human expert. For example, there are expert systems that can diagnose human illnesses, make financial forecasts, and schedule routes for delivery vehicles.
    • Some expert systems are designed to take the place of human experts, while others are designed to aid them.
    • Expert systems are part of a general category of computer applications known as artificial intelligence .
    • To design an expert system, one needs a knowledge engineer, an individual who studies how human experts make decisions and translates the rules into terms that a computer can understand.
  • Expert systems are used to aid
    • Single point decisions. e.g. Planning
    • Designing. e.g. Design of an irrigation system
    • Selection. e.g. The most suitable Crop variety or market outlet
    • Diagnosis or identification. e.g. Of a livestock disorder
    • Interpretation. e.g. Of a set of financial accounts
    • Prediction. e.g. of extreme events such as thunderstorms and frost;
    • A sequence of tactical decisions throughout a production cycle. e.g. plant protection and nutrition decisions, livestock feeding.
  • Components of an Expert System
    • Knowledge
    • – In various forms: associations, models, etc.
    • Strategy
    • – Exhaustive enumeration, on-line, etc.
    • Implementation
    • – Programs, pattern matching, rules, etc.
  • Particular decision problem
    • As a stand – alone advisory system for the specific knowledge domain perhaps with monitoring by a human expert
    • To provide decision – support for a high-level human expert
    • To allow a high-level expert to be replaced by a subordinate expert aided by the expert system
    • As a delivery system for extension information
    • To provide management education for decision makers
    • For dissemination of up-to-date scientific information in a readily accessible and easily understood form, to agricultural researchers and advisers.
  • Logic flow of the expert system
    • The part of the plant where symptoms have been the observed is given by the extension officer
    • The basic symptoms are given as input;
    • Considering these symptoms the user is expected to give further information based on other visual symptoms
    • At this step the disease and pest are identified
    • The user is then given the option to either stop or further diagnose and other disease / pest or get preventive or curative measures on these.
  • Advantages
    • Have the ability to imitate human thought and reasoning
    • Make modification of knowledge very convenient
    • Ability of interpretation and transparency makes interaction more user friendly
    • With the machine learning technique knowledge can be acquired automatically and directly from experimental data and real time examples
    • Provide expert level recommendations understandable to users
    • Have the ability to handle uncertain information
  • Indian Expert Systems
    • Rice-Crop
    • National Institute of Agricultural Extension Management (MANAGE) has developed an expert system to diagnose pests and diseases for rice crop and suggest preventive/curative measures.
    • The rice crop doctor illustrates the use of expert-systems broadly in the area of agriculture and more specifically in the area of rice production through development of a prototype, taking into consideration a few major pests and diseases and some deficiency problems limiting rice yield.
    • The diseases included are rice blast, brown spots, sheath blight, rice tungro virus, false smut fungi, bacterial leaf blight, sheath rot and zinc deficiency disease.
    • The pests included are stem borers, rice gall midge, brown plant hopper, rice leaf folder, green leaf hopper and Gundhi bug.
  • Conclusion
    • The Expert system must be developed in local languages which will help the Farmers to develop their own expertise which in turn will enhance the production and productivity of Agriculture.
    • These expert systems must be available in village booths which act as information resource center for the farmers in the villages.
    • Manager should promote the development of expert systems and act as a co-orientating /nodal agency and also motivate and train people to make best use of expert systems.
    • Manager may play a crucial role in encouraging and promoting extension departments, NGO’s to serve people better by adopting expert systems as critical component of cyber extension.
  • Thank You [email_address]